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FROWNINGdev

django-orm-lens

list_models

Retrieve a flat list of all app.Model entries in your Django project. Optionally filter by a specific app to limit the output.

Instructions

Flat list of app.Model. Optional 'app' filter.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must fully convey behavior. It mentions 'Flat list' and an optional filter but provides no details on default behavior (e.g., when app is empty), pagination, ordering, or performance implications.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no fluff. It efficiently conveys the core purpose and filter option.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool has one optional parameter and an output schema, the description covers the basic idea but lacks context about what an 'app.Model' is, the structure of the list, or any constraints. The output schema exists, partially compensating, but for a listing tool more context is desirable.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It adds that 'app' is an optional filter, which is helpful, but does not explain expected format or behavior when omitted. Overall minimal added value.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Flat list of app.Model' clearly indicates the tool returns a list of models, distinguishing it from siblings like 'describe_model' (single model) and 'list_apps' (apps). However, it lacks an explicit verb like 'Retrieve' or 'List'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool vs alternatives like 'describe_model' or 'find_relations'. The description only implies basic usage with an optional filter.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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